update

eval.py

@@ -0,0 +1,8 @@
+from datasets import load_dataset
+from underthesea import word_tokenize
+from underthesea.pipeline.word_tokenize.regex_tokenize import tokenize
+from os.path import dirname, join
+
+dataset = load_dataset("undertheseanlp/UTS_Text_v1")
+
+sentences = dataset["train"]["text"]

generate_dataset.py

@@ -0,0 +1,33 @@
+from datasets import load_dataset
+from underthesea import word_tokenize
+from underthesea.pipeline.word_tokenize.regex_tokenize import tokenize
+from os.path import dirname, join
+from underthesea.utils import logger
+
+dataset = load_dataset("undertheseanlp/UTS_Text_v1")
+
+sentences = dataset["train"]["text"]
+pwd = dirname(__file__)
+data_file = join(pwd, "data/train.txt")
+with open(data_file, "w") as f:
+    f.write("")
+
+
+f = open(data_file, "a")
+content = ""
+for j, s in enumerate(sentences):
+    if j % 100 == 0 and j > 0:
+        f.write(content)
+        content = ""
+        logger.info(j)
+    words = word_tokenize(s)
+    for word in words:
+        tokens = tokenize(word)
+        for i, token in enumerate(tokens):
+            if i == 0:
+                tag = "B-W"
+            else:
+                tag = "I-W"
+            content += token + "\t" + tag + "\n"
+    content += "\n"
+f.close()

requirements.txt

@@ -0,0 +1 @@
+datasets